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C#

C# static code analysis

Unique rules to find Bugs, Vulnerabilities, Security Hotspots, and Code Smells in your C# code

  • All rules 493
  • Vulnerability46
  • Bug88
  • Security Hotspot24
  • Code Smell335

  • Quick Fix 61
 
Tags
    Impact
      Clean code attribute
        1. Server-side requests should not be vulnerable to traversing attacks

           Vulnerability
        2. Content Security Policies should be restrictive

           Vulnerability
        3. JWT secret keys should not be disclosed

           Vulnerability
        4. Stack traces should not be disclosed

           Vulnerability
        5. Loop boundaries should not be vulnerable to injection attacks

           Vulnerability
        6. Connection strings should not be vulnerable to injections attacks

           Vulnerability
        7. Memory allocations should not be vulnerable to Denial of Service attacks

           Vulnerability
        8. Accessing files should not lead to filesystem oracle attacks

           Vulnerability
        9. Environment variables should not be defined from untrusted input

           Vulnerability
        10. XML operations should not be vulnerable to injection attacks

           Vulnerability
        11. XML signatures should be validated securely

           Vulnerability
        12. Applications should not create session cookies from untrusted input

           Vulnerability
        13. Reflection should not be vulnerable to injection attacks

           Vulnerability
        14. Extracting archives should not lead to zip slip vulnerabilities

           Vulnerability
        15. OS commands should not be vulnerable to argument injection attacks

           Vulnerability
        16. Types allowed to be deserialized should be restricted

           Vulnerability
        17. JWT should be signed and verified with strong cipher algorithms

           Vulnerability
        18. Cipher algorithms should be robust

           Vulnerability
        19. Encryption algorithms should be used with secure mode and padding scheme

           Vulnerability
        20. Insecure temporary file creation methods should not be used

           Vulnerability
        21. Passwords should not be stored in plaintext or with a fast hashing algorithm

           Vulnerability
        22. Dynamic code execution should not be vulnerable to injection attacks

           Vulnerability
        23. NoSQL operations should not be vulnerable to injection attacks

           Vulnerability
        24. HTTP request redirections should not be open to forging attacks

           Vulnerability
        25. Logging should not be vulnerable to injection attacks

           Vulnerability
        26. Server-side requests should not be vulnerable to forging attacks

           Vulnerability
        27. Deserialization should not be vulnerable to injection attacks

           Vulnerability
        28. Endpoints should not be vulnerable to reflected cross-site scripting (XSS) attacks

           Vulnerability
        29. Server certificates should be verified during SSL/TLS connections

           Vulnerability
        30. LDAP connections should be authenticated

           Vulnerability
        31. Cryptographic keys should be robust

           Vulnerability
        32. Weak SSL/TLS protocols should not be used

           Vulnerability
        33. Secure random number generators should not output predictable values

           Vulnerability
        34. Serialization constructors should be secured

           Vulnerability
        35. Members should not have conflicting transparency annotations

           Vulnerability
        36. "CoSetProxyBlanket" and "CoInitializeSecurity" should not be used

           Vulnerability
        37. Database queries should not be vulnerable to injection attacks

           Vulnerability
        38. Cipher Block Chaining IVs should be unpredictable

           Vulnerability
        39. XML parsers should not be vulnerable to XXE attacks

           Vulnerability
        40. Regular expressions should not be vulnerable to Denial of Service attacks

           Vulnerability
        41. A secure password should be used when connecting to a database

           Vulnerability
        42. XPath expressions should not be vulnerable to injection attacks

           Vulnerability
        43. I/O function calls should not be vulnerable to path injection attacks

           Vulnerability
        44. LDAP queries should not be vulnerable to injection attacks

           Vulnerability
        45. OS commands should not be vulnerable to command injection attacks

           Vulnerability
        46. Password hashing functions should use an unpredictable salt

           Vulnerability

        Cryptographic keys should be robust

        responsibility - trustworthy
        security
        Vulnerability
        • cwe
        • privacy

        This vulnerability exposes encrypted data to attacks whose goal is to recover the plaintext.

        Why is this an issue?

        How can I fix it?

        More Info

        Encryption algorithms are essential for protecting sensitive information and ensuring secure communications in a variety of domains. They are used for several important reasons:

        • Confidentiality, privacy, and intellectual property protection
        • Security during transmission or on storage devices
        • Data integrity, general trust, and authentication

        When selecting encryption algorithms, tools, or combinations, you should also consider two things:

        1. No encryption is unbreakable.
        2. The strength of an encryption algorithm is usually measured by the effort required to crack it within a reasonable time frame.

        In today’s cryptography, the length of the key directly affects the security level of cryptographic algorithms.

        Note that depending on the algorithm, the term key refers to a different mathematical property. For example:

        • For RSA, the key is the product of two large prime numbers, also called the modulus.
        • For AES and Elliptic Curve Cryptography (ECC), the key is only a sequence of randomly generated bytes.
          • In some cases, AES keys are derived from a master key or a passphrase using a Key Derivation Function (KDF) like PBKDF2 (Password-Based Key Derivation Function 2)

        If an application uses a key that is considered short and insecure, the encrypted data is exposed to attacks aimed at getting at the plaintext.

        In general, it is best practice to expect a breach: that a user or organization with malicious intent will perform cryptographic attacks on this data after obtaining it by other means.

        What is the potential impact?

        After retrieving encrypted data and performing cryptographic attacks on it on a given timeframe, attackers can recover the plaintext that encryption was supposed to protect.

        Depending on the recovered data, the impact may vary.

        Below are some real-world scenarios that illustrate the potential impact of an attacker exploiting the vulnerability.

        Additional attack surface

        By modifying the plaintext of the encrypted message, an attacker may be able to trigger additional vulnerabilities in the code. An attacker can further exploit a system to obtain more information.
        Encrypted values are often considered trustworthy because it would not be possible for a third party to modify them under normal circumstances.

        Breach of confidentiality and privacy

        When encrypted data contains personal or sensitive information, its retrieval by an attacker can lead to privacy violations, identity theft, financial loss, reputational damage, or unauthorized access to confidential systems.

        In this scenario, the company, its employees, users, and partners could be seriously affected.

        The impact is twofold, as data breaches and exposure of encrypted data can undermine trust in the organization, as customers, clients and stakeholders may lose confidence in the organization’s ability to protect their sensitive data.

        Legal and compliance issues

        In many industries and locations, there are legal and compliance requirements to protect sensitive data. If encrypted data is compromised and the plaintext can be recovered, companies face legal consequences, penalties, or violations of privacy laws.

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          in your IDE
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          on-premise CI
          Available Since
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          Developer Edition
          Available Since
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